Responsibilities:

• Data Infrastructure Development: Design, implement, and maintain data infrastructure to support the collection, storage, and analysis of gaming data.
• Integration: Integrate external data sources such as APIs and databases to gather relevant gaming data for analysis.
• Data Cleansing and Preprocessing: Develop processes to clean and preprocess raw data, ensuring accuracy and consistency for analysis.
• Data Analysis Support: Collaborate with analysts and data scientists to extract actionable insights from gaming data, contributing to strategic decision-making.
• Process Automation: Develop automated processes for data collection, cleansing, and analysis to streamline workflows and increase efficiency.
• Cross-functional Collaboration: Work closely with teams across the organization, including game development, analytics, and product management, to support data-driven initiatives and projects.
• Continuous Improvement: Stay updated on industry trends and best practices in data engineering, recommending and implementing improvements to existing processes and technologies.

Requirements:

• Proficiency in Python for data manipulation, scripting, and automation.
• Strong command of SQL for data querying and manipulation.
• Experience in designing and implementing data pipelines and ETL processes.
• Familiarity with cloud platforms such as AWS or Azure for data storage and processing.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills, with the ability to work in a fast-paced, cross-functional environment.
• Bachelor's degree or higher in Computer Science, Engineering, or related field.

Nice to Have:

• Experience in the gaming industry.
• Familiarity with blockchain technology.